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Master Site Reliability Engineering in Gurgaon — move into Platform Engineer roles paying ₹9–16 LPA, rising to ₹30L at senior level.
Open-house batches for individuals — enroll directly. Training a team? Request an enterprise quote →
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14 Nov – 29 Nov 2026
Saturday
all session dates
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10:00 AM–2:00 PM IST | 🎓 Virtual Instructor-led🗓️ Weekends | Half days | 3 weekends | ₹12,600 ₹21,000 |
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Sat 14 NovSun 15 NovSat 21 NovSun 22 NovSat 28 NovSun 29 Nov
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16 Nov – 18 Nov 2026
Monday
all session dates
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9:30 AM–5:30 PM IST | 🎓 Virtual Instructor-led🗓️ Weekdays | Full days | 3 days | ₹12,600 ₹21,000 |
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Mon 16 NovTue 17 NovWed 18 Nov
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07 Dec – 04 Jan 2027
Monday
all session dates
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8:00 PM–10:00 PM IST | 🎓 Virtual Instructor-led🗓️ Weekdays | Evenings | 12 sessions | ₹12,600 ₹21,000 |
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Mon 7 DecWed 9 DecFri 11 DecMon 14 DecWed 16 DecFri 18 DecMon 21 DecWed 23 DecMon 28 DecWed 30 DecFri 1 JanMon 4 Jan
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| Enterprise Custom Date |
Custom Schedule Your timing & location |
⚡ Any Mode | Flexible | Custom pricing | |
Can't find a suitable batch? Contact us
Define SLOs, monitor systems with Prometheus/Grafana, automate incident response and toil reduction.
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Build reliable infrastructure, implement observability, reduce operational overhead through automation and tooling.
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Deploy services on Kubernetes, configure monitoring and alerting, drive reliability through automation.
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* Salary figures sourced from AmbitionBox (2026-Q2). Indicative — actual pay varies by city, company and experience.
This intermediate to advanced course teaches Site Reliability Engineering principles and practices for designing, operating, and scaling reliable systems. You'll learn to define service level indicators and objectives, instrument services with observability tools, and manage production reliability at scale.
Ideal for Site Reliability Engineers, Platform Engineers, DevOps Engineers, and Infrastructure Engineers, this course covers the full SRE lifecycle: configuring Prometheus for metrics collection and PromQL queries, building Grafana dashboards to visualize SLO health, managing alerting and on-call workflows, conducting blameless incident postmortems, designing Kubernetes reliability patterns, automating toil reduction, and executing chaos engineering to validate system resilience. You'll apply SRE principles to real-world challenges in capacity planning, root cause analysis, and observability across your infrastructure.
The job roles this programme is built for.
11 modules · hands-on labs · 1 capstone project · 24 hours
Every batch includes guided labs, case studies and a capstone — applied to real-world problems.
Everything your programme needs, in one connected place.
No install. No config. Just build.
Not email, Zoom links and scattered PDFs. From the moment you enroll, your whole programme lives in one place.
From enrolment to certificate, every step is laid out in order — you always know where you are and exactly what happens next. Nothing lost between tools.
Pre-configured cloud labs. Spin one up in seconds, build on real infrastructure, break things and learn — nothing to install.
Write and run code right in the browser, get AI feedback as you go, and practice against problems that mirror the job — no local setup, ever.
A pre-assessment sets your baseline; a post-assessment proves your uplift. Real, measurable growth — for you, and for the employer looking at your record.
A capstone graded by AI and validated by your trainer — detailed feedback in hours, not weeks, on work that looks like what teams actually ship.
Today's session, pending tasks, resources and progress — organised in one place so you focus on learning, not on chasing links and files.
One verifiable link — the project you built, your before → after scores, the skills you proved. Shareable with any employer.
Earn your Greater Insights Site Reliability Engineering certificate — ready to share on LinkedIn.
Verified Google reviews — Greater Insights company-wide
This intermediate-to-advanced programme teaches Site Reliability Engineering as it is practised in production environments. Delivered live by an experienced SRE instructor, every session pairs concept with immediate application: learners work through hands-on labs covering Prometheus instrumentation, Grafana dashboard construction, and Kubernetes reliability patterns before bringing everything together in a structured capstone project that mirrors a real on-call production scenario from end to end.
Site Reliability Engineering is the discipline of running software systems at scale with explicit, measurable reliability targets. Originating from Google's approach to production operations, SRE treats reliability as a product feature rather than an afterthought, quantifying it through Service Level Indicators and Service Level Objectives backed by error budgets. In practice this means instrumenting every service so its health is visible, alerting only on conditions that genuinely threaten user experience, and responding to incidents with structured runbooks and blameless postmortems. The result is a feedback loop that continuously improves system resilience, reduces unplanned toil, and gives engineering teams a principled way to balance velocity against stability in live Kubernetes-based production infrastructure.
Organisations running distributed services on Kubernetes are under mounting pressure to deliver both speed and reliability, and the people who can quantify that trade-off with SLIs, SLOs, and error budgets are in short supply. Teams that once relied on ad-hoc alerting and manual runbooks are adopting the SRE model precisely because it replaces guesswork with measurable objectives and structured incident response. Engineers who can instrument services with Prometheus, surface golden signals in Grafana, configure burn-rate alerts, and lead blameless postmortems command significantly greater responsibility and compensation than generalist operations staff — making SRE one of the most practically valuable specialisations available to infrastructure and platform engineers today.
By the end you will have built — not just studied — the core systems of the field:
Site Reliability Engineering skills open pathways into roles with significant organisational influence and technical seniority. Site Reliability Engineers sit at the intersection of software development and production operations, owning reliability targets across entire platforms. Platform Engineers use the same SLO and Prometheus-based observability tooling to build internal infrastructure products consumed by dozens of development teams. DevOps Engineers who can articulate error budgets and lead blameless postmortems move into senior positions faster than peers with purely pipeline-focused experience. Production Engineers and Infrastructure Engineers with Kubernetes reliability expertise are sought after by any organisation running containerised workloads at scale. Cloud Operations Engineers who understand capacity planning, performance analysis, and chaos engineering are increasingly valued as cloud costs and reliability expectations both rise. Across all these roles, demand consistently outpaces the supply of engineers who combine the principled SRE mindset with hands-on Prometheus, Grafana, and Kubernetes proficiency.
When analytics consulting firms running large-scale BFSI, pharma, and FMCG client engagements need their data pipelines and ML inference systems to stay available around the clock, you are the person who keeps those systems from failing quietly. In Gurgaon's consulting-heavy environment, you build service-level objectives for platforms that process millions of client transactions, design incident response workflows that protect against cascading failures across multi-tenant environments, and implement observability stacks that give delivery teams the confidence to release frequently without destabilising production. The density of mid-to-senior analytics practices in the region means the reliability problems you solve are not trivial — they span complex integrations between on-premise client infrastructure and cloud-hosted model-serving layers, where even brief outages translate directly into commercial risk for end clients in regulated industries.
Employers in Gurgaon that recruit for Site Reliability Engineering skills include Genpact and EXL, both of which maintain large engineering and analytics operations serving global enterprise clients from their Gurgaon bases. Global technology and financial services organisations such as Google, Microsoft, and American Express also recruit SRE professionals across their NCR footprints.
Demand for Site Reliability Engineering roles in Gurgaon grows year on year, reflecting how central platform reliability has become to the success of data-intensive consulting and technology operations in the region. If you are ready to build toward this career, live online instructor-led batches run in IST and are joinable from anywhere in Gurgaon.
